Rock Leung
Charlotte Tang
Abstract
Mobile computing devices, such as smart phones, offer benefits that may be especially valuable to older adults (age 65+). Yet, older adults have been shown to have difficulty learning to use these devices. In the research presented in this article, we sought to better understand how older adults learn to use mobile devices, their preferences and barriers, in order to find new ways to support them in their learning process. We conducted two complementary studies: a survey study with 131 respondents from three age groups (20--49, 50--64, 65+) and an in-depth field study with 6 older adults aged 50+. The results showed, among other things, that the preference for trial-and-error decreases with age, and while over half of older respondents and participants preferred using the instruction manual, many reported difficulties using it. We discuss implications for design and illustrate these implications with an example help system, Help Kiosk, designed to support older adults’ learning to use mobile devices.
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- Android Community. 2012. http://androidcommunity.com/android-most-popular-among-first-time-buyers -in-q4-says-npd-20120206/ (Last accessed 2/12).Google Scholar
- Barry, J. M. and West, R. L. 1993. Cognitive self-efficacy in relation to personal mastery and goal setting across the life span. Int. J. Behav. Devel. 16, 351--379.Google ScholarCross Ref
- Birdi, K. S. and Zapf, D. 1997. Age differences in reactions to errors in computer-based work. Behav. Inf. Technol. 16, 6, 309--319.Google ScholarCross Ref
- Carroll, J., Smith-Kerker, P., Ford, J., and Mazur-Rimetz, S. 1987. The minimal manual. Hum.- Comput. Interact. 3, 2, 123--153. Google ScholarDigital Library
- Catrambone, R. and Carroll, J. M. 1987 Learning a word processing system with training wheels and guided exploration. In Proceedings of the SIGCHI/GI Conference on Human Factors in Computing Systems and Graphics Interface (CHI’87). 169--174. Google ScholarDigital Library
- Czaja, S. J. and Lee, C. C. 2007. The impact of aging on access to technology. Univers. Access Inf. Soc. 5, 4, 341--349. Google ScholarDigital Library
- Dickinson, A., Arnott, J. L., and Prior, S. 2007. Methods for human - computer interaction research with older people. Behav. Inf. Technol. 26, 4, 343--352. Google ScholarDigital Library
- Docampo Rama, M., De Ridder, H., and Bouma, H. 2001. Technology generation and age in using layered user interfaces. Gerontechnol. 1, 1, 25--40.Google ScholarCross Ref
- Duffy, T. M., Palmer, J. E., and Mehlenbacher, B. 1992. Online Help: Design and Evaluation. Ablex Publishing, Norwood, NJ. Google ScholarDigital Library
- Echt, K. V., Morrell, R. W., and Park, D. C. 1998. Effects of age and training formats on basic computer skill acquisition in older adults. Educ. Gerontol. 24, 1, 3--25.Google ScholarCross Ref
- Fisk, A. D., Rogers, W. A., Charness, N., Czaja, S. J., and Sharit, J. 2009. Designing for Older Adults: Principles and Creative Human Factors Approaches 2nd Ed. CRC Press.Google Scholar
- Fozard, J. L., Bouma, H., Franco, A., and Van Bronswijk, J. E. M. H. 2009. Homo ludens: Adult creativity and quality of life. Gerontechnol. 8, 4, 187--196.Google ScholarCross Ref
- Google. 2010. Nexus one user guide. http://www.google.com/googlephone/NexusOneOwnersGuide.pdf (Last accessed 3/11).Google Scholar
- Gregor, P., Newell, A. F., and Zajicek, M. 2002. Designing for dynamic diversity: Interfaces for older people. In Proceedings of the 5th International ACM Conference on Assistive Technologies (ASSETS). 151--156. Google ScholarDigital Library
- Hawthorn, D. 2000. Possible implications of aging for interface designers. Interact. Comput. 12, 5, 507--528.Google ScholarCross Ref
- Hawthorn, D. 2005. Training wheels for older users. In Proceedings of the 19th Conference of the Computer-Human Interaction Special Interest Group of Australia on Computer-Human Interaction (CHISIG). 1--10. Google ScholarDigital Library
- Hickman, J. M, Rogers, W. A., and Fisk, A. D. 2007. Training older adults to use new technology. J. Gerontol. 62B, II, 77--84.Google ScholarCross Ref
- Inglis, E. A., Szymkowiak, A., Gregor, P., Newell, A. F., Hine, N., Shah, P., Wilson, B. A., and Evans, J. 2003. Issues surrounding the user-centred development of a new interactive memory aid. Univer. Access Inf. Soc 2, 3, 226--234.Google ScholarDigital Library
- Kelley, C. L. and Charness, N. 1995. Issues in training older adults to use computers. Behav. Inf. Technol. 14, 2, 107--120.Google ScholarCross Ref
- Kurniawan, S. 2006. An exploratory study of how older women use mobile phones. In Proceedings of the Ubicomp Conference. 105--122. Google ScholarDigital Library
- Kurniawan, S. 2008. Older people and mobile phones: A multi-method investigation. Int. J. Hum.-Comput. Stud. 66, 889--901. Google ScholarDigital Library
- Kurniawan, S., Mahmud, M., and Nugroho, Y. 2006. A study of the use of mobile phones by older persons. In Extended Abstracts of the ACM SIGCHI Conference on Human Factors in Computing Systems. 989--994. Google ScholarDigital Library
- Leung, R., Mcgrenere, J., and Graf, P. 2009. Age-Related differences in the initial usability of mobile device icons. Behav. Inf. Technol. 30, 5, 629--642. Google ScholarDigital Library
- Leung, R., Findlater, L., Mcgrenere, J., Graf, P., and Yang, J. 2010. Multi-layered interfaces to improve older adults’ initial learnability of mobile applications. ACM Trans. Access. Comput. 3, 1. Google ScholarDigital Library
- Massimi, M., Baecker, M., and Wu, M. 2007. Using participatory activities with seniors to critique, build, and evaluate mobile phones. In Proceedings of the International ACM Conference on Assistive Technologies (ASSETS). 155--162. Google ScholarDigital Library
- Maurer, T. J. 2001. Career-Relevant learning and development, worker age, and beliefs about self-efficacy for development. J. Manage. 27, 123--140.Google ScholarCross Ref
- Mitzner, T. L., Fausset, C. B., Boron, J. B., Adams, A. E., Dijkstra, K., Lee, C. C., Rogers, W. A., and Fisk, A. D. 2008. Older adults’ training preferences for learning to use technology. In Proceedings of Annual Meeting of Human Factors and Ergonomics Society. 2047--2051.Google Scholar
- Morrell, R. W., Park D. C., Mayhorn, C. B., and Kelly, C. L. 2000. Effects of age and instructions on teaching older adults to use eldercomm, an electronic bulletin board system. Educ. Gerontol. 26, 3, 221--235.Google ScholarCross Ref
- Novick, D. G. and Ward, K. 2006. Why don’t people read the manual? In Proceedings of ACM International Conference on Design of Communication (SIGDOC). 11--18. Google ScholarDigital Library
- Ofcom. 2008. Media Literacy Audit: Report on Media Literacy amongst Older People. Ofcom, London.Google Scholar
- Ofcom. 2009. Media Literacy Audit - Digital Lifestyles: Adults Aged 60 and Over. Ofcom, London.Google Scholar
- Rieman, J. 1996. A field study of exploratory learning strategies. ACM Trans. Comput. Hum. Interact. 3, 3, 189--218. Google ScholarDigital Library
- Rogers, W. A., Cabrera, E. F., Walker, N., Gilbert, D. K., and Fisk, A. D. 1996. A survey of automatic teller machine usage across the adult lifespan. Hum. Factors 38, 1, 156--166.Google ScholarCross Ref
- Selwyn, N., Gorard, S., Furlong, J., and Madden, L. 2003. Older adults’ use of information and communications technology in everyday life. Aging Soc. 23, 5, 561--582.Google ScholarCross Ref
- Truluck, J. E. and Courtenay, B. C. 1999. Learning style preferences among older adults. Educ. Gerontol. 25, 3, 221--236.Google ScholarCross Ref
- Van Wynen, E. A. 2001. A key to successful aging: Learning-Style patterns of older adults. J. Gerontol. Nurs. 27, 9, 6--15.Google ScholarCross Ref
- Wobbrock, J. O., Findlater, L., Gergle, D., and Higgins, J. J. 2011. The aligned rank transform for nonparametric factorial analyses using only anova procedures. In Proceedings of the ACM SIGCHI Conference on Human Factor in Computing Systems. 143--146. Google ScholarDigital Library
Index Terms
- How Older Adults Learn to Use Mobile Devices: Survey and Field Investigations
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Reviews
Dimitrios Zissis
Technical people tend to believe that all users learn the same way that they do. They try a few things, see if they work, try something else, and hopefully sometime soon figure it out; if they don't figure it out, they search the Internet for a usable solution. I was recently part of a team that was charged with designing and developing a smartphone graphical user interface (GUI) that would be used by a large, highly diverse group of users. During our first trials, we soon discovered that user differences had significant implications for our design choices. Due to screen size limitations, we attempted to provide affordances for user comprehension with the appropriate use of media for presenting content. Because text content takes up too much space and is not engaging, we needed to provide visual representations of textual information. Although we used what we believed were common or popular icons to convey meaning and represent interactions, many of our users were totally confused. A number of users needed help understanding how to use many portions of our interface. At this point, I came across this interesting paper, which presents the results of an extensive study on how older adults learn to use mobile devices. The authors "conducted two complementary studies: a survey study with 131 respondents from three age groups (20-49, 50-64, 65+) and an in-depth field study with [six] older adults aged 50+." The studies explored "how older adults learn to use mobile devices, their preferences and barriers, in order to find new ways to support them in their learning process." In this paper, the authors present their results—"the preference for trial-and-error decreases with age, and while over half of older respondents and participants preferred using the instruction manual, many reported difficulties using it"—and discuss the design implications of their findings. It is truly interesting that the authors included younger adults in their survey to help ground the data from the older adults and to uncover age-related differences. Overall, this is an interesting read for anyone designing smartphone GUIs. It has particular value for those of us charged with the development of software, reminding us of the importance of user manuals and thorough usage instructions. Online Computing Reviews Service
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